Many conventional computer architectures are ill-equipped to meet the computational demands of machine learning-based models. In recent years, some engineers have thus been trying to design ...

An AI system developed by Google DeepMind, Google's premiere AI research lab, has surpassed the average gold medalist in ...

Humans and certain animals appear to have an innate capacity to learn relationships between different objects or events in ...

We propose a high-order neighbor propagation method, which can effectively capture and learn the representation information of high-order neighbor nodes without using multi-channel architecture and ...

In this paper, a novel fusion method on the multimodal medical images exploiting convolutional neural network ... in the future. To the best of our knowledge, the following several points are worth ...

digital technology hitech concept deep learning neural network stock videos & royalty-free footage Futuristic diagram showing how computer neural network works including internal hidden calculations, ...

This repo contains code accompaning the paper, Basic Enhancement Strategies When Using Bayesian Optimization for Hyperparameter Tuning of Deep Neural Networks Compared to ... be a major burden ...

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These elements are implemented in a single neural network architecture as shown in Figure ... and the remaining some value > 0. In future work, we plan to investigate additional methodologies ...